图书简介

Surveys of Selected Topics: Fixed-Parameter Algorithms for Graph-Modeled Data Clustering (Hüffner et al.); Probabilistic Distance Clustering: Algorithm and Applications (C Iyigun & A Ben-Israel); Analysis of Regulatory and Interaction Networks from Clusters of Co-expressed Genes (E Yang et al.); Graph-based Approaches for Motif Discovery (E Zaslavsky); Statistical Clustering Analysis: An Introduction (H Zhang); New Methods and Applications: Diversity Graphs (P Blain et al.); Identifying Critical Nodes in Protein-Protein Interaction Networks (V Boginski & C W Commander); Faster Algorithms for Constructing a Concept (Galois) Lattice (V Choi); A Projected Clustering Algorithm and Its Biomedical Application (P Deng & W Wu); Graph Algorithms for Integrated Biological Analysis, with Applications to Type 1 Diabetes Data (J D Eblen et al.); A Novel Similarity-based Modularity Function for Graph Partitioning (Z Feng et al.); Mechanism-based Clustering of Genome-wide RNA Levels: Roles of Transcription and Transcript-Degradation Rates (S Ji et al.); The Complexity of Feature Selection for Consistent Biclustering (O E Kundakcioglu & P M Pardalos); Clustering Electroencephalogram Recordings to Study Mesial Temporal Lobe Epilepsy (C-C Liu et al.); Relating Subjective and Objective Pharmacovigilance Association Measures (R K Pearson); A Novel Clustering Approach: Global Optimum Search with Enhanced Positioning (M P Tan & C A Floudas).

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